Non-structural Flood Mitigation Optimization at Community Scale: Middle Cedar Case Study

EarthArXiv (California Digital Library), Journal Year: 2023, Volume and Issue: unknown

Published: June 7, 2023

Flooding is the leading natural hazard in Iowa and has resulted billions of dollars damage to properties critical infrastructure over past couple decades. Land alterations, urbanization, changing precipitation regimes increase magnitude frequency flood events. Considering increasing risk, mitigation efforts are significant reduce future losses. In this study, we present a comprehensive assessment for cities Cedar Falls, Rapids, Waterloo Iowa, utilizing various datasets such as property information, inundation maps, costs, depth-damage functions. The research revealed that flooding minimal impact on below 200-year return period scenario, but Falls Rapids significantly vulnerable, requiring more investments planning. study conducted benefit-cost analysis, indicating dry floodproofing most feasible option impacts all studied communities. Moreover, climate data-driven which found elevating structures increases number options, regardless long-term projections. also analyzed predetermined budgets, revealing potential avoided losses ratios with highest BCRs prioritizing them maximize total benefit findings provide valuable insights community decision-makers prioritize measures based ratio. Overall, provides recommendations decision-makers, contributing development effective strategies minimize regions.

Language: Английский

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Comprehensive Assessment of Flood Risk and Vulnerability for Essential Facilities: Iowa Case Study

EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 2, 2024

Of all natural disasters that occur on this planet, flood events are universally one of the most common and destructive. As climate change human actions continue to cause occurrence rise, it becomes increasingly important effects flooding analyzed understood. In study, nine different types critical amenities in state Iowa (such as hospitals, fire stations, schools, etc.) were a county level terms depth, functionality restoration time after flooding, damage sustained during flooding. These also their location relative 100yr 500yr zones. Results show number within extent reached up 39%, scenario but six chosen counties lost 100% amenities. Most found have depth 1 4 ft deep 480 days. The purpose study is bring awareness decision makers regarding risk pose highlight increasing dangers broader scale. This will be beneficial improve mitigation strategies, emergency response plans, ensuring services available event future floods for affected areas.

Language: Английский

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Geo-Spatial Analysis of Built-Environment Exposure to Flooding: Iowa Case Study

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: March 19, 2024

Abstract Flooding is the most frequent type of natural disaster, inducing devastating damage at large and small spatial scales. Flood exposure analysis a critical part flood risk assessment. While studies analyze elements separately, it crucial to perform multi-parameter consider different types zones gain comprehensive understanding impact make informed mitigation decisions. This research analyzes population, properties, road networks potentially exposed 100, 200, 500-year events county level in State Iowa using geospatial analytics. We also propose index fuzzy overlay help find impacted county. During flooding, results indicate that county-level percentage displaced length can reach up 46%, 41%, 40%, respectively. found buildings roads are laid residential areas. Also, 25% counties designated as very high-exposure study many stakeholders identify vulnerable areas ensure equitable distribution investments resources toward projects.

Language: Английский

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Geo-Spatial Analysis of Built-Environment Exposure to Flooding: Iowa Case Study

Published: Jan. 1, 2023

Flooding is the most frequent type of natural disaster, inducing devastating damages at large and small spatial scales. Flood exposure analysis a critical part flood risk assessment. While studies analyze elements separately, it crucial to perform multi-parameter consider different types zones gain comprehensive understanding impact make informed mitigation decisions. This research analyzes population, properties, road networks exposed 100, 200, 500-year events county level in State Iowa using geospatial analytics. We also proposed index fuzzy overlay help find impacted county. During flooding, results indicate that county-level percentage displaced length can reach up 46%, 41%, 40%, respectively. found buildings roads are laid residential areas. Also, 25% counties designated as very high-exposure study many stakeholders identify vulnerable areas ensure equitable distribution investments resources toward projects.

Language: Английский

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A Web-based Analytical Urban Flood Damage and Loss Estimation Framework

EarthArXiv (California Digital Library), Journal Year: 2022, Volume and Issue: unknown

Published: Dec. 4, 2022

Information and communication technology serves a crucial role in communicating flood risk consequences to broad range of stakeholders facilitating mitigation decisions. While studies extensively utilize inundation maps for risks, there is need integrate spectrum physical vulnerability parameters into estimates at various spatial scales. This research aims build publicly accessible web platform analyze estimate riverine flood-related damages using HAZUS HEC-FIA damage functions community property framework will provide loss estimation properties, business interruption, vehicles, bridges, lives, as well debris generation. The analysis available two scopes, including property. extent enables the user explore socioeconomic information event 100- 500-year return periods several communities State Iowa. In scope, can generate outcomes impacts "what if" scenarios user-provided data. disseminates without requiring extra software be installed on user's local workstation. It offers guidance tool help decision-makers with management, such identifying vulnerable areas investigating interventions.

Language: Английский

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